Outputs AI UX patterns
Output patterns for formatting, comparison, refinement, sharing, and history of model-generated results.
Essential
Stream answers, refine drafts, compare options, and keep feedback tight.
More in Outputs
Outputs
Conversation Summary
Auto-summarize long chats
Outputs
Skeleton Screens
Show content shape while loading
Outputs
Smart Code Blocks
Interactive snippets
Outputs
Scroll to Bottom
New message alert
Outputs
Message Reactions
Quick emoji reactions
Outputs
Generative Charts
Text to viz
Outputs
Instant Translation
Swap language
Outputs
Output Format Selection
Choose output format (JSON, CSV, Markdown)
Outputs
Output History
Browse and restore previous outputs
Outputs
Output Sharing
Share outputs with permissions/links
Outputs
Output Analytics
Track which outputs users prefer/use most
Outputs
Auto Tagging
AI metadata
Frequently asked questions
How do output patterns help iteration?
They shorten the loop between first draft and shippable work, refine menus, diffs, version history, and export paths users expect from creative and doc tools.
When should I offer output comparison?
When users choose among models, prompts, or settings and need side-by-side diff, not for every reply, which adds noise to simple Q&A.
What belongs in output history versus chat history?
Output history indexes artifacts (images, code files, slides) with metadata; chat history indexes turns. Split them when artifacts outlive the thread.
How should refinement controls be scoped?
Apply refine actions to selections or blocks, show preview, and preserve undo. Global “make it better” without scope frustrates users editing long documents.
Do output patterns cover sharing and export?
Yes. Sharing links, format selection, and analytics appear here. Align permissions with trust patterns when outputs contain sensitive data.
Which patterns pair with codegen products?
Smart diff, output comparison, and regen carousels map well to code and copy workflows; see examples on individual pattern pages.